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2016 Volume 31
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RESEARCH ARTICLE   Open Access    

Storing massive Resource Description Framework (RDF) data: a survey

  • 1.

    College of Computer Science & Technology

  • 2.

    Collaborative Innovation Center of Novel Software Technology and Industrialization

  • 3.

    Department of Electrical and Computer Engineering

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  • Abstract: The Resource Description Framework (RDF) is a flexible model for representing information about resources on the Web. As a W3C (World Wide Web Consortium) Recommendation, RDF has rapidly gained popularity. With the widespread acceptance of RDF on the Web and in the enterprise, a huge amount of RDF data is being proliferated and becoming available. Efficient and scalable management of RDF data is therefore of increasing importance. RDF data management has attracted attention in the database and Semantic Web communities. Much work has been devoted to proposing different solutions to store RDF data efficiently. This paper focusses on using relational databases and NoSQL (for ‘not only SQL (Structured Query Language)’) databases to store massive RDF data. A full up-to-date overview of the current state of the art in RDF data storage is provided in the paper.
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  • Cite this article

    Zongmin Ma, Miriam A. M. Capretz, Li Yan. 2016. Storing massive Resource Description Framework (RDF) data: a survey. The Knowledge Engineering Review 31(4)391−413, doi: 10.1017/S0269888916000217
    Zongmin Ma, Miriam A. M. Capretz, Li Yan. 2016. Storing massive Resource Description Framework (RDF) data: a survey. The Knowledge Engineering Review 31(4)391−413, doi: 10.1017/S0269888916000217
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RESEARCH ARTICLE   Open Access    

Storing massive Resource Description Framework (RDF) data: a survey

  • 1.

    College of Computer Science & Technology

  • 2.

    Collaborative Innovation Center of Novel Software Technology and Industrialization

  • 3.

    Department of Electrical and Computer Engineering

  • Published online: 07 December 2016
The Knowledge Engineering Review  31,  2016, 31(4): 391−413  |  Cite this article

Abstract: Abstract: The Resource Description Framework (RDF) is a flexible model for representing information about resources on the Web. As a W3C (World Wide Web Consortium) Recommendation, RDF has rapidly gained popularity. With the widespread acceptance of RDF on the Web and in the enterprise, a huge amount of RDF data is being proliferated and becoming available. Efficient and scalable management of RDF data is therefore of increasing importance. RDF data management has attracted attention in the database and Semantic Web communities. Much work has been devoted to proposing different solutions to store RDF data efficiently. This paper focusses on using relational databases and NoSQL (for ‘not only SQL (Structured Query Language)’) databases to store massive RDF data. A full up-to-date overview of the current state of the art in RDF data storage is provided in the paper.

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    Acknowledgments

    • This work was supported in part by the National Natural Science Foundation of China (61572118 and 61370075).

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    Cite this article
    Zongmin Ma, Miriam A. M. Capretz, Li Yan. 2016. Storing massive Resource Description Framework (RDF) data: a survey. The Knowledge Engineering Review 31(4)391−413, doi: 10.1017/S0269888916000217
    Zongmin Ma, Miriam A. M. Capretz, Li Yan. 2016. Storing massive Resource Description Framework (RDF) data: a survey. The Knowledge Engineering Review 31(4)391−413, doi: 10.1017/S0269888916000217
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